Postdoctoral Position – FSU
The Center for Ocean-Atmospheric Predictions Studies (COAPS) at the Florida State University invites applications for a postdoctoral position to work in the areas of ocean modeling and prediction. The work is part of a broad effort to improve the Indian National Centre for Ocean Information Services (INCOIS) global and regional operational ocean models and data assimilation methods and is a component of a multi-institutional effort including the NOAA Geophysical Fluid Dynamics Laboratory (GFDL) and National Centers for Environmental Prediction (NCEP) and NASA Global Modeling and Assimilation Office (GMAO).
The applicant must hold a Ph.D. or must have submitted his/her/their doctoral theses for assessment prior to joining. The ideal candidates should have a strong background in one or more areas among dynamical oceanography, ocean modeling, data assimilation, machine learning, applied mathematics, or numerical methods. The applicant must have the ability to work comfortably in the Unix/Linux environment with experience in scientific software development, shell scripting, and experience with Python/Matlab/GrADS or similar analysis software. The applicant must be motivated, have the ability to work independently, and be willing to cooperate with peers and students in the team. A major emphasis of this search is on the potential for independent and creative research by the candidate. Early career postdocs will be exposed to research and career opportunities. Salaries and benefits will be commensurate with the candidates’ experience. Appointees are eligible for health insurance through Florida State University.
Candidate application materials should include a current CV, summary of doctoral dissertation and/or past research experience, statement of research interest, and the contact information of three references. Applications will be accepted until the position is filled. If interested, please contact Professor Eric Chassignet at firstname.lastname@example.org.
COAPS is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.